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About the Role
We are seeking a Perception Engineer to develop systems that enable autonomous machines to understand and interact with the physical world. You will work on perception problems at the intersection of computer vision, machine learning, robotics, and autonomous systems, building models and systems that transform real-world sensor data into reliable representations of the environment.
Responsibilities
- Design, train, and deploy machine learning models for perception in autonomous systems.
- Develop algorithms for object detection, classification, segmentation, tracking, and scene understanding.
- Build systems for 3D perception and geometric reasoning using cameras, LiDAR, radar, or other sensors.
- Develop approaches for multi-sensor and multi-modal fusion, combining complementary sensor information into robust representations of the environment.
- Build temporal models that reason about objects, motion, trajectories, and changes in the environment over time.
- Improve perception performance across challenging real-world conditions, including occlusion, sensor noise, changing environments, and edge cases.
- Develop data, training, evaluation, and experimentation pipelines that accelerate perception development.
- Define metrics and evaluation methodologies that connect offline model performance to real-world system behavior.
- Optimize perception models and systems for deployment on resource-constrained or latency-sensitive robotic platforms.
- Investigate failures observed in deployed systems and translate those findings into improvements across models, data, and architecture.
- Collaborate closely with AI Research, Robotics, ML Infrastructure, Software, Hardware, and Systems Engineering teams.
Requirements
- 3-5 years of relevant experience working with perception systems and computer vision & machine learning models.
- Strong software engineering skills in Python and/or C++.
- Experience developing perception systems for autonomous vehicles, robotics, drones, industrial automation, or other embodied systems.
- Experience with camera, LiDAR, radar, IMU, or other robotic sensor modalities.
- Experience with multi-modal or multi-sensor architectures.
- Knowledge of 3D geometry, coordinate transformations, calibration, localization, or state estimation.
- Experience deploying ML models into real-time or safety-critical systems.
- Experience optimizing models for latency, compute, memory, or power constraints.
- Experience working with large-scale perception datasets and training infrastructure.
- Experience diagnosing long-tail failures and improving production perception systems through data-driven iteration.
- Experience taking research ideas from experimentation through deployment on physical systems.
Skills
- Computer Vision
- Machine Learning
- Robotics
- Autonomous Systems
- Python
- C++
- 3D Geometry
- Coordinate Transformations
- Calibration
- Localization
- State Estimation
Location
- San Francisco
Work Type
- Onsite
Experience Level
- 3-5 years
Salary/Compensations
- $208,000 - $245,000 per year
Benefits
- Medical, Dental, Vision, Disability, and Life Insurance
- Flexible Spending Account / Health Savings Account Options
- 401(k)
- Equity
- Sick Time, Unlimited Flexible Time Off, and Paid Holidays
- Paid Parental Leave
- Pre-Tax Commuter Benefit Plan
- Team lunch in our SoMa office every Tuesday and Thursday
About the Company
- Pronto AI is a global leader in commercializing autonomous vehicle (AV) technology, deploying Autonomous Haulage Systems (AHS) that automate operations in mines, quarries, and construction sites worldwide.
- We deliver real, production-ready autonomy that is already operating in the field.
- We are on a mission to make mining operations safer, smarter, and more efficient through cutting-edge technology, and we are building toward becoming the world’s first profitable AV technology company.